Pakistan R workshop

You can find all of our workshop information on this site.

When & Where

Date: 16th - 20th September 2019, 08:00-17:30
Location: Pakistan

Set up & Pre-work

To participate in this workshop, you will need to make sure you:

Download R and RStudio

Download the latest versions

• R https://cran.r-project.org/
• RStudio https://www.rstudio.com/products/rstudio/#Desktop

Once R and Rstudio are both installed, if you open RStudio and things have gone according to plan then in the console you will see something like the following:

R version 3.6.1 (2019-07-05) -- "Action of the Toes"
Copyright (C) 2019 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

Install Necessary Packages

Open RStudio and paste the following code into your console, then press Enter to run it:

# Download packages from CRAN

install.packages(c("devtools", "knitr", "magrittr", "sf", "sp", "rmarkdown", "usethis", "ggplot2", "dplyr", "zoo", "reshape2", "scales", "maptools"))

These are the main packages for the workshop. If we require more then we can either install them from the web or from e.g. a USB if we have them.

Learning Objectives

From basic principles to advanced graphics. You will be able to

• Read-in, explore and write data sets
• Clean messy data and rearrange for analysis
• Plot and map different types of data

Organizers

• Nathan Green
• David Jorgensen

Schedule

Our agenda is below.

DAY 2 (17-9): Introduction

Pre-reading

• R generation, Significance Magazine

• Introduction to R 10:00-12:00
  • history and motivation
  • R for data analysis
  • RStudio GUI
  • Console, scripts
• Basic types 13:00-14:30
  • base
  • dates and times
    • Download exercises-1_intro-R_dataframe.pdf
    • Download exercises-1_intro-R_index.pdf
    • Download exercises-1_intro-R_lists.pdf
    • Download exercises-1_intro-R_logicals.pdf
    • Download exercises-1_intro-R_vectors.pdf
• Data transformation 15:00-16:30
  • Missing values
    • Download exercises-1_intro-R_NAs.pdf
  • Indexing, sorting, filtering

DAY 3 (18-9): Handling data

Pre-reading

• Tidy Data, Wickham
• Data organization in spreadsheets, Broman

• Day 2 recap 9:30-10:00
• Pre-processing/munging 10:00-12:00
  • base: join, merge, aggregate
    • Download exercises-1_intro-R_binding.pdf
      
  • tidy data: dplyr
  • regular expression
• Exploring data 13:00-15:00
  • summary statistics
  • tables and basic plots
• Writing data 15:30-16:30

DAY 4 (19-9): Outputs

Pre-reading

• How to look at data: A review of John W. Tukey's exploratory data analysis, Church
• Effective visual communication for the quantitative scientist, Vandemeulebroecke

• Day 3 recap 9:30-10:00
• Plotting 10:00-11:30
  • ggplot2
  • colour themes
    • Download exercises-3_plots_basic.pdf
    • Download exercises-ggplot.pdf
• Maps 12:00-13:00
  • Download example.Rmd
    
• Putting it all together 14:00-16:00
  • plots for presentations
  • maps for presentations